يعرض 1 - 20 نتائج من 279 نتيجة بحث عن '"Snow, Val"', وقت الاستعلام: 0.69s تنقيح النتائج
  1. 1
    Periodical
    Modelling pastoral farm agro-ecosystems : a review

    المؤلفون: Bryant, J. R., Snow, Val O.

    المصدر: New Zealand journal of agricultural research, Sep 2008; v.51 n.3:p.349-363

    URL الوصول: http://www.tandfonline.com/doi/pdf/10.1080/00288230809510466

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  2. 2
    Periodical
    A functional evaluation of virtual climate station rainfall data

    المؤلفون: Cichota, Rogerio, Snow, Val O., Tait, Andrew, 1969-

    المصدر: New Zealand journal of agricultural research, Sep 2008; v.51 n.3:p.317-329

    URL الوصول: http://www.tandfonline.com/doi/pdf/10.1080/00288230809510463

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  3. 3
    Periodical
    A functional evaluation of virtual climate station rainfall data

    المؤلفون: Cichota, Rogerio, Snow, Val O, Tait, Andrew, 1969-

    المصدر: WISPAS (Online), Nov 2007; n.98:p.4-5

    URL الوصول: https://ndhadeliver.natlib.govt.nz/delivery/DeliveryManagerServlet?dps_pid=IE764993

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  4. 4
    Periodical
    Coppicing hardwoods for renovation of dairy shed effluent

    المؤلفون: Snow, Val

    المصدر: WISPAS (Online), Jul 2002; n.82:p.5

    URL الوصول: https://ndhadeliver.natlib.govt.nz/delivery/DeliveryManagerServlet?dps_pid=IE764955

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  5. 5
    Academic Journal
    A response to ‘An examination of the ability of plantain ( Plantago lanceolata L.) to mitigate nitrogen leaching from pasture systems'

    المؤلفون: Monaghan, Ross, Snow, Val, Welten, Brendon, Selbie, Diana, Morton, Jeff, Shepherd, Mark

    المصدر: New Zealand Journal of Agricultural Research ; page 1-4 ; ISSN 0028-8233 1175-8775

    الاتاحة: http://dx.doi.org/10.1080/00288233.2024.2398153
    https://www.tandfonline.com/doi/pdf/10.1080/00288233.2024.2398153

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  6. 6
    Academic Journal
    Development of Algorithm for Determining N Fertiliser Requirements of Winter Wheat Based on N Status Using APSIM Modelling

    المؤلفون: Cronin, Iris Vogeler, Kumar, Uttam, Knudsen, Leif, Hansen, Elly Møller, Snow, Val, Thomsen, Ingrid Kaag

    المصدر: Cronin , I V , Kumar , U , Knudsen , L , Hansen , E M , Snow , V & Thomsen , I K 2024 , ' Development of Algorithm for Determining N Fertiliser Requirements of Winter Wheat Based on N Status Using APSIM Modelling ' , Crops , vol. 4 , no. 2 , pp. 134-144 . https://doi.org/10.3390/crops4020010

    مصطلحات موضوعية: APSIM, N leaching, optimum N fertilisation, yield

    الاتاحة: https://pure.au.dk/portal/en/publications/0667ba41-9fc6-4849-8747-5d09fae45155
    https://doi.org/10.3390/crops4020010
    http://www.scopus.com/inward/record.url?scp=85207365187&partnerID=8YFLogxK

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  7. 7
    Academic Journal
    Residual correlation and ensemble modelling to improve crop and grassland models

    المؤلفون: Sándor, Renáta, Ehrhardt, Fiona, Grace, Peter, Recous, Sylvie, Smith, Pete, Snow, Val, Soussana, Jean-François, Bhatia, Arti, Brilli, Lorenzo, Doltra, Jordi, Dorich, Christopher, D, Doro, Luca, Fitton, Nuala, Grant, Brian, Harrison, Matthew, Tom, Skiba, Ute, Kirschbaum, Miko, U F, Klumpp, Katja, Laville, Patricia, Léonard, Joël, Martin, Raphaël, Massad, Raia Silvia, Moore, Andrew, D, Myrgiotis, Vasileios, Pattey, Elizabeth, Rolinski, Susanne, Sharp, Joanna, Smith, Ward, Wu, Lianhai, Zhang, Qing, Bellocchi, Gianni

    المساهمون: Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Agricultural Institute (ELKH CAR), Collège de Direction (CODIR), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), RITTMO Agroenvironnement (RITTMO), Queensland University of Technology Brisbane (QUT), Fractionnement des AgroRessources et Environnement (FARE), Université de Reims Champagne-Ardenne (URCA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), INSTITUTE OF BIOLOGICAL AND ENVIRONMENTAL SCIENCES, University of Aberdeen, AgResearch, Lincoln Res Ctr, PB 4749, Christchurch 8140, New Zealand, Partenaires INRAE, Indian Agricultural Research Institute (IARI), Department of Agriculture, Food, Environment and Forestry (DAGRI), Università degli Studi di Firenze = University of Florence = Université de Florence (UniFI), Institute for BioEconomy Sesto Fiorentino (IBE, National Research Council of Italy, Institut de Recerca i Tecnologia Agroalimentàries = Institute of Agrifood Research and Technology (IRTA), Natural Resource Ecology Laboratory Fort Collins (NREL), Colorado State University Fort Collins (CSU), Desertification Research Group, Università degli Studi di Sassari = University of Sassari Sassari (UNISS), Texas A and M AgriLife Research, Texas A&M University System, Canadian National Collection of Insects, Arachnids, and Nematodes, Science & Technology Branch, Agriculture and Agri-Food Canada, Ottawa, ON, K1A 0C6, Agriculture and Agri-Food (AAFC), University of Tasmania Launceston (UTAS), NERC Centre for Ecology and Hydrology, Penicuik, UK, Manaaki Whenua – Landcare Research Lincoln, Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), BioEcoAgro - UMR transfrontalière INRAE 1158, Université d'Artois (UA)-Université de Liège-Université de Picardie Jules Verne (UPJV)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), BioEcoAgro - Equipe 2 - Integrated functioning of the soil-plant system and exchanges between the ecosystem and the hydrosphere and the atmosphere, Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Université d'Artois (UA)-Université de Liège-Université de Picardie Jules Verne (UPJV)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-JUNIA (JUNIA), CSIRO Agriculture and Food (CSIRO), School of Geosciences Edinburgh, University of Edinburgh (Edin.), Potsdam Institute for Climate Impact Research (PIK), The New Zealand Institute for Plant and Food Research Limited (PFR), Mt. Albert Research Centre, Sustainable Agriculture Systems (Rothamsted Research), Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics Beijing (IAP), Chinese Academy of Sciences Beijing (CAS)-Chinese Academy of Sciences Beijing (CAS), ANR-11-INBS-0001,ANAEE-FR,ANAEE-Services(2011), ANR-16-IDEX-0001,CAP 20-25,CAP 20-25(2016)

    المصدر: ISSN: 1364-8152 ; Environmental Modelling and Software ; https://hal.inrae.fr/hal-03997939 ; Environmental Modelling and Software, 2023, 161, pp.105625. ⟨10.1016/j.envsoft.2023.105625⟩.

    مصطلحات موضوعية: Biogeochemical models, Correlation matrices, Ensemble modelling, [SDE]Environmental Sciences

    Relation: hal-03997939; https://hal.inrae.fr/hal-03997939; https://hal.inrae.fr/hal-03997939/document; https://hal.inrae.fr/hal-03997939/file/Sandor,%20R_2023_Environmental_modelling_and_software_preprint.pdf; WOS: 000927383700001

    الاتاحة: https://hal.inrae.fr/hal-03997939
    https://hal.inrae.fr/hal-03997939/document
    https://hal.inrae.fr/hal-03997939/file/Sandor,%20R_2023_Environmental_modelling_and_software_preprint.pdf
    https://doi.org/10.1016/j.envsoft.2023.105625

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  8. 8
    Academic Journal
    Improving N2O emission estimates with the global N2O database

    المؤلفون: Dorich, Christopher D., Conant, Richard T., Albanito, Fabrizio, Butterbach-Bahl, Klaus, Grace, Peter, Scheer, Clemens, Snow, Val O., Vogeler, Iris, Weerden, Tony J van der

    المصدر: Current Opinion in Environmental Sustainability

    مصطلحات موضوعية: emission

    وصف الملف: p. 13-20

    Relation: Dorich, Christopher D.; Conant, Richard T.; Albanito, Fabrizio; Butterbach-Bahl, Klaus; Grace, Peter; Scheer, Clemens; Snow, Val O.; Vogeler, Iris; Weerden, Tony J van der. 2020. Improving N2O emission estimates with the global N2O database. Current Opinion in Environmental Sustainability 47: 13-20; https://hdl.handle.net/10568/129452; https://doi.org/10.1016/j.cosust.2020.04.006

    الاتاحة: https://hdl.handle.net/10568/129452
    https://doi.org/10.1016/j.cosust.2020.04.006

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  9. 9
    Academic Journal
    Evaluating the Potential of Legumes to Mitigate N2O Emissions From Permanent Grassland Using Process-Based Models

    المؤلفون: Fuchs, Kathrin, Merbold, Lutz, Buchmann, Nina, Bellocchi, Gianni, Bindi, Marco, Brilli, Lorenzo, Conant, Richard T., Dorich, Christopher D., Ehrhardt, Fiona, Fitton, Nuala, Grace, Peter, Klumpp, Katja, Liebig, Mark, Lieffering, Mark, Martin, Raphaël, McAuliffe, Russell, Newton, Paul C.D., Rees, Robert M., Recous, Sylvie, Smith, Pete, Soussana, Jean‐François, Topp, Cairistiona F.E., Snow, Val O.

    المصدر: Global Biogeochemical Cycles

    مصطلحات موضوعية: models, legumes

    Relation: Fuchs, Kathrin; Merbold, Lutz; Buchmann, Nina; Bellocchi, Gianni; Bindi, Marco; Brilli, Lorenzo; Conant, Richard T.; Dorich, Christopher D.; Ehrhardt, Fiona; Fitton, Nuala; Grace, Peter; Klumpp, Katja; Liebig, Mark; Lieffering, Mark; Martin, Raphaël; McAuliffe, Russell; Newton, Paul C.D.; Rees, Robert M.; Recous, Sylvie; Smith, Pete; Soussana, Jean-François; Topp, Cairistiona F.E.; Snow, Val O. 2020. Evaluating the Potential of Legumes to Mitigate N2O Emissions From Permanent Grassland Using Process-Based Models. Global Biogeochemical Cycles 34; https://hdl.handle.net/10568/129558; https://doi.org/10.1029/2020gb006561

    الاتاحة: https://hdl.handle.net/10568/129558
    https://doi.org/10.1029/2020gb006561

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  10. 10
    Academic Journal
    How Modelers Model: the Overlooked Social and Human Dimensions in Model Intercomparison Studies ; There is a growing realization that the complexity of model ensemble studies depends not only on the models used but also on the experience and approach used by modelers to calibrate and validate results, which remain a source of uncertainty. Here, we applied a multi-criteria decision-making method to investigate the rationale applied by modelers in a model ensemble study where 12 process-based different biogeochemical model types were compared across five successive calibration stages. The modelers shared a common level of agreement about the importance of the variables used to initialize their models for calibration. However, we found inconsistency among modelers when judging the importance of input variables across different calibration stages. The level of subjective weighting attributed by modelers to calibration data decreased sequentially as the extent and number of variables provided increased. In this context, the perceived importance attributed to variables such as the fertilization rate, irrigation regime, soil texture, pH, and initial levels of soil organic carbon and nitrogen stocks was statistically different when classified according to model types. The importance attributed to input variables such as experimental duration, gross primary production, and netecosystem exchange varied significantly according to the length of the modeler’s experience. We argue that the gradual access to input data across the five calibration stages negatively influenced the consistency of the interpretations made by the modelers, with cognitive bias in “trial-and-error” calibration routines. Our study highlights that overlooking human and social attributes is critical in the outcomes of modeling and model intercomparison studies. While complexity of the processes captured in the model algorithms and parameterization is important, we contend that (1) the modeler’s assumptions on the extent to which parameters should be altered and (2) modeler perceptions of the importance of model parameters are just as critical in obtaining a quality model calibration as numerical or analytical details.

    المؤلفون: Albanito, Fabrizio, Mcbey, David, Harrison, Matthew, Smith, Pete, Ehrhardt, Fiona, Bhatia, Arti, Bellocchi, Gianni, Brilli, Lorenzo, Carozzi, Marco, Christie, Karen, Doltra, Jordi, Dorich, Christopher, Doro, Luca, Grace, Peter, Grant, Brian, Léonard, Joël, Liebig, Mark, Ludemann, Cameron, Martin, Raphaël, Meier, Elizabeth, Meyer, Rachelle, de Antoni Migliorati, Massimiliano, Myrgiotis, Vasileios, Recous, Sylvie, Sándor, Renáta, Snow, Val, Soussana, Jean-François, Smith, Ward, N, Fitton, Nuala

    المساهمون: University of Aberdeen, Tasmanian Institute of Agriculture (TIA), University of Tasmania Hobart (UTAS), RITTMO Agroenvironnement (RITTMO), Collège de Direction (CODIR), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Indian Council of Agricultural Research (ICAR), Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institute for BioEconomy Sesto Fiorentino (IBE, National Research Council of Italy, Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut de Recerca i Tecnologia Agroalimentàries = Institute of Agrifood Research and Technology (IRTA), Natural Resource Ecology Laboratory Fort Collins (NREL), Colorado State University Fort Collins (CSU), Texas A and M AgriLife Research, Texas A&M University System, Università degli Studi di Sassari = University of Sassari Sassari (UNISS), Queensland University of Technology Brisbane (QUT), Ottawa Research and Development Center, Agriculture and Agri-Food (AAFC), BioEcoAgro - UMR transfrontalière INRAe - UMRT1158, Université d'Artois (UA)-Université de Liège-Université de Picardie Jules Verne (UPJV)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), USDA-ARS, Northern Plains Agricultural Research Laboratory, Sidney, Montana, Cameron Ludemann Consulting, CSIRO Agriculture and Food (CSIRO AF), Commonwealth Scientific and Industrial Research Organisation Australia (CSIRO), Faculty of Veterinary & Agricultural Sciences, University of Melbourne, Parkville, Victoria, University of Edinburgh (Edin.), Fractionnement des AgroRessources et Environnement (FARE), Université de Reims Champagne-Ardenne (URCA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre for Agricultural Research Budapest (ATK), Hungarian Academy of Sciences (MTA), AgResearch Nouvelle-Zélande, ANR-16-IDEX-0001,CAP 20-25,CAP 20-25(2016)

    المصدر: ISSN: 0013-936X.

    مصطلحات موضوعية: model ensembles, biogeochemical models, multi-criteria decision-making, model calibration, model intercomparison, climate change, greenhouse gases, soil carbon, AgMIP, [SDE.MCG]Environmental Sciences/Global Changes

    Relation: WOS: 000893824300001

    الاتاحة: https://hal.science/hal-03857990
    https://hal.science/hal-03857990v1/document
    https://hal.science/hal-03857990v1/file/acs.est.2c02023.pdf
    https://doi.org/10.1021/acs.est.2c02023

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  11. 11
    Academic Journal
    Simulation-assisted machine learning for operational digital twins

    المؤلفون: Pylianidis, Christos, Snow, Val, Overweg, Hiske, Osinga, Sjoukje, Kean, John, Athanasiadis, Ioannis N.

    المصدر: Environmental Modelling and Software 148 (2022) ; ISSN: 1364-8152

    مصطلحات موضوعية: APSIM, Data availability, Data resolution, Digital twin, Machine learning, Metamodel

    وصف الملف: application/pdf

    Relation: https://edepot.wur.nl/561608

    الاتاحة: https://research.wur.nl/en/publications/simulation-assisted-machine-learning-for-operational-digital-twin
    https://doi.org/10.1016/j.envsoft.2021.105274

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  12. 12
    Academic Journal
    Perspectives on confronting issues of scale in systems modeling

    المؤلفون: Iwanaga, Takuya, Steinmann, Patrick, Sadoddin, Amir, Robinson, Derek, Snow, Val, Grimm, Volker, Wang, Hsiao-Hsuan

    المصدر: Socio-Environmental Systems Modelling; Vol. 4: Fourth Issue (2022); 18156 ; 2663-3027

    مصطلحات موضوعية: socio-environmental modeling, integrated modeling, interdisciplinary scale, patterns

    وصف الملف: application/pdf

    Relation: https://sesmo.org/article/view/18156/17852; https://sesmo.org/article/view/18156

    الاتاحة: https://sesmo.org/article/view/18156
    https://doi.org/10.18174/sesmo.18156

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  13. 13
    Academic Journal
    S-map parameters for APSIM

    المؤلفون: Vogeler, Iris, Lilburne, Linda, Webb, Trevor, Cichota, Rogerio, Sharp, Joanna, Carrick, Sam, Brown, Hamish, Snow, Val

    المصدر: Vogeler , I , Lilburne , L , Webb , T , Cichota , R , Sharp , J , Carrick , S , Brown , H & Snow , V 2022 , ' S-map parameters for APSIM ' , MethodsX , vol. 9 , 101632 . https://doi.org/10.1016/j.mex.2022.101632

    مصطلحات موضوعية: Digital spatial soil information, Process-based modelling, S-map parameters for APSIM, Sensitivity analysis, PEDOTRANSFER FUNCTIONS, TEXTURE, SOIL, FIELD ESTIMATION, SIMULATION, WATER

    الاتاحة: https://pure.au.dk/portal/da/publications/smap-parameters-for-apsim(7fa5f3a9-6ca2-4292-94aa-1e6b05a6fc3e).html
    https://doi.org/10.1016/j.mex.2022.101632
    http://www.scopus.com/inward/record.url?scp=85125835289&partnerID=8YFLogxK

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  14. 14
    Academic Journal
    Two hundred volumes of Agricultural Systems:Common themes and trends

    المؤلفون: Snow, Val, Stephens, Emma, Martin, Guillaume, van Wijk, Mark, Timsina, Jagadish, Reidsma, Pytrik, Klerkx, Laurens, Topp, Cairistiona, Taffi, Marianna

    المصدر: Snow , V , Stephens , E , Martin , G , van Wijk , M , Timsina , J , Reidsma , P , Klerkx , L , Topp , C & Taffi , M 2022 , ' Two hundred volumes of Agricultural Systems : Common themes and trends ' , Agricultural Systems , vol. 201 , 103463 . https://doi.org/10.1016/j.agsy.2022.103463

    وصف الملف: application/pdf

    الاتاحة: https://pure.sruc.ac.uk/en/publications/5014f780-1d81-4dfd-9b6c-bab536d8a7f4
    https://doi.org/10.1016/j.agsy.2022.103463
    https://pure.sruc.ac.uk/ws/files/52578703/1_s2.0_S0308521X22000993_main.pdf
    http://www.scopus.com/inward/record.url?scp=85134816311&partnerID=8YFLogxK

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  15. 15
    Academic Journal
    Development of Algorithm for Determining N Fertiliser Requirements of Winter Wheat Based on N Status Using APSIM Modelling.

    المؤلفون: Vogeler, Iris, Kumar, Uttam, Knudsen, Leif, Hansen, Elly M., Snow, Val, Thomsen, Ingrid K.

    المصدر: Crops (2673-7655); Jun2024, Vol. 4 Issue 2, p134-144, 11p

    مصطلحات موضوعية: NITROGEN fertilizers, WINTER wheat, REMOTE sensing, PLANT biomass, SOIL leaching


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  16. 16
    Academic Journal
    Review of APSIM's soil nitrogen modelling capability for agricultural systems analyses

    المؤلفون: Verburg, Kirsten, Pasley, Heather R., Biggs, Jody S., Vogeler, Iris, Wang, Enli, Mielenz, Henrike, Snow, Val O., Smith, Chris J., Pasut, Chiara, Basche, Andrea D., He, Di, Archontoulis, Sotirios V., Gaydon, Donald S., Huth, Neil I., Holzworth, Dean P., Sharp, Joanna M., Cichota, Rogerio, Khaembah, Edith N., Teixeira, Edmar I., Brown, Hamish E., Farrell, Mark, Janke, Chelsea K., Gupta, Vadakattu V.S.R., Thorburn, Peter J.

    مصطلحات موضوعية: article, Text, ddc:630, Agricultural Production Systems sIMulator -- Model -- Simulation -- Cropping system -- Nitrogen balance -- Nitrous oxide -- Nitrate leaching -- Organic carbon

    Relation: Agricultural systems -- AGRIC SYST -- 0308-521X -- 1873-2267 -- 413255-5 -- 1495825-9; https://doi.org/10.1016/j.agsy.2024.104213; https://www.openagrar.de/receive/openagrar_mods_00103228

    الاتاحة: https://doi.org/10.1016/j.agsy.2024.104213
    https://www.openagrar.de/receive/openagrar_mods_00103228

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  17. 17
    Report
    Suitability of APSIM for Estimating Farm Nutrient Losses to Underpin New Zealand's Freshwater Policy and Regulations

    المؤلفون: Snow, Val, Brown, Hamish, Cichota, Rogerio, Lieffering, Mark

    مصطلحات موضوعية: simulation modelling, nutrient losses, freshwater policy and regulation, farming systems

    Relation: https://doi.org/10.5281/zenodo.6321433; https://doi.org/10.5281/zenodo.6321434; oai:zenodo.org:6321434

    الاتاحة: https://doi.org/10.5281/zenodo.6321434

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  18. 18
    Academic Journal
    Comparing machine learning metamodels of different scale for pasture nitrogen response rate prediction

    المؤلفون: Pylianidis, C., Snow, Val, Overweg, H.C., Athanasiadis, I.N.

    مصطلحات موضوعية: Life Science

    وصف الملف: application/pdf

    Relation: https://edepot.wur.nl/543754

    الاتاحة: https://research.wur.nl/en/publications/comparing-machine-learning-metamodels-of-different-scale-for-past
    https://doi.org/10.5194/egusphere-egu21-8279

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  19. 19
    Academic Journal
    Towards best-practice inclusion of cultural indicators in decision making by Indigenous peoples

    المؤلفون: Morgan, Te Kīpa Kēpa Brian, Reid, John, McMillan, Oliver Waiapu Timothy, Kingi, Tanira, White, Te Taru, Young, Bill, Snow, Val, Laurenson, Seth

    المصدر: AlterNative: An International Journal of Indigenous Peoples ; volume 17, issue 2, page 202-214 ; ISSN 1177-1801 1174-1740

    الاتاحة: http://dx.doi.org/10.1177/11771801211015686
    http://journals.sagepub.com/doi/pdf/10.1177/11771801211015686
    http://journals.sagepub.com/doi/full-xml/10.1177/11771801211015686

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  20. 20
    Academic Journal
    A protocol to build soil descriptions for APSIM simulations

    المؤلفون: Cichota, Rogerio, Vogeler, Iris, Sharp, Joanna, Verburg, Kirsten, Huth, Neil, Holzworth, Dean, Dalgliesh, Neal, Snow, Val

    المساهمون: Grains Research and Development Corporation, New Zealand Institute for Plant and Food Research Limited, Commonwealth Scientific and Industrial Research Organisation

    المصدر: MethodsX ; volume 8, page 101566 ; ISSN 2215-0161

    الاتاحة: http://dx.doi.org/10.1016/j.mex.2021.101566
    https://api.elsevier.com/content/article/PII:S2215016121003563?httpAccept=text/xml
    https://api.elsevier.com/content/article/PII:S2215016121003563?httpAccept=text/plain

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